Triple
T32479949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juzgados de Garantía |
E830080
|
entity |
| Predicate | trialsConductedBy |
P174489
|
FINISHED |
| Object | Tribunales de Juicio Oral en lo Penal |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tribunales de Juicio Oral en lo Penal | Statement: [Juzgados de Garantía, trialsConductedBy, Tribunales de Juicio Oral en lo Penal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trialsConductedBy Context triple: [Juzgados de Garantía, trialsConductedBy, Tribunales de Juicio Oral en lo Penal]
-
A.
triedBy
Indicates that an entity has made an attempt to perform an action on, or in relation to, another entity.
-
B.
conductedExperimentsIn
Indicates that an entity performed or carried out experiments within a specified location or context.
-
C.
hasNumberOfTrials
Indicates the total count of trials or experimental attempts associated with an entity or process.
-
D.
handlesTrials
Indicates that an entity is responsible for managing, conducting, or overseeing trials or test processes involving another entity.
-
E.
numberOfExperiments
Indicates the total count of experiments associated with or performed in a given context or entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c395640c81908808b2d4d40f26e7 |
completed | May 3, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 12:58 a.m.